Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Entire DC Network
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Neuroscience Institute Faculty Publications
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; …
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Neuroscience Institute Faculty Publications
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; …